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# Intro
- Problem statement:
* NCBI records vary in quality
* not available for download as a single data set
* annotation not consistent or difficult to piece together
- Previous 16S data…
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hello @yashasvini121,
Problem Description
Parkinson's Disease is a progressive neurological disorder that affects movement, often causing tremors, stiffness, and difficulty with balance and coordina…
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**To do**
- [x] **Refactoring Howtos oa_ad_***
Currently, data streams from OpenML are used. This dependency shall be removed. Instead, the new native stream Point Outliers shall be used.
- [x] …
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# O is for Outlier Detection | ABCs of data science
Outlier (or anomaly) detection is the technical term for “finding weird stuff”. It’s used in a wide variety of applications including malware detec…
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This is a feature request for removal of outliers in `nudged.estimate` (or possibly a new method). I'm using this library in a computer vision project that uses feature detection to determine the tran…
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*Title*: Support outlier detection of other status codes (particularly 4xx).
*Description*:
Outliers can be hosts returning an abnormal rate of any status code, not just 5xx. Although 4xx errors …
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Thanks to Patrick and Bas for chatting about this over coffee after my lab meeting. Sounds like Lee had a very promising answer: Gaussian Processes!
Here are some potentially useful links I found by …
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I would need some help understanding the strategy behind this method. Are you first finding outlying voxels in each volume and then of those, deciding which outliers are outlying in time?
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This issue is meant to track the progress and previous work made on nutrition table detection and cropping.
## Previous work
As part of Google Summer of Code 2018, a student (Sagar) trained an o…